| AQUALOC: An underwater dataset for visual–inertial–pressure localization M Ferrera, V Creuze, J Moras, P Trouvé-Peloux The International Journal of Robotics Research 38 (14), 1549-1559, 2019 | 116 | 2019 |
| Deep depth from defocus: how can defocus blur improve 3d estimation using dense neural networks? M Carvalho, B Le Saux, P Trouvé-Peloux, A Almansa, F Champagnat Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 79 | 2018 |
| Real-time monocular visual odometry for turbid and dynamic underwater environments M Ferrera, J Moras, P Trouvé-Peloux, V Creuze Sensors 19 (3), 687, 2019 | 76 | 2019 |
| On regression losses for deep depth estimation M Carvalho, B Le Saux, P Trouvé-Peloux, A Almansa, F Champagnat 2018 25th IEEE International Conference on Image Processing (ICIP), 2915-2919, 2018 | 74 | 2018 |
| Passive depth estimation using chromatic aberration and a depth from defocus approach P Trouvé, F Champagnat, G Le Besnerais, J Sabater, T Avignon, J Idier Applied optics 52 (29), 7152-7164, 2013 | 55 | 2013 |
| Multitask learning of height and semantics from aerial images M Carvalho, B Le Saux, P Trouvé-Peloux, F Champagnat, A Almansa IEEE Geoscience and Remote Sensing Letters 17 (8), 1391-1395, 2019 | 50 | 2019 |
| Single image local blur identification P Trouvé, F Champagnat, G Le Besnerais, J Idier 2011 18th IEEE International Conference on Image Processing, 613-616, 2011 | 39 | 2011 |
| End-to-end sensor and neural network design using differential ray tracing A Halé, P Trouvé-Peloux, JB Volatier Optics express 29 (21), 34748-34761, 2021 | 28 | 2021 |
| The aqualoc dataset: Towards real-time underwater localization from a visual-inertial-pressure acquisition system M Ferrera, J Moras, P Trouvé-Peloux, V Creuze, D Dégez arXiv preprint arXiv:1809.07076, 2018 | 22 | 2018 |
| Design of a chromatic 3D camera with an end-to-end performance model approach P Trouve, F Champagnat, G Besnerais, G Druart, J Idier Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 19 | 2013 |
| Theoretical performance model for single image depth from defocus P Trouvé-Peloux, F Champagnat, G Le Besnerais, J Idier JOSA A 31 (12), 2650-2662, 2014 | 17 | 2014 |
| Colored visualization of multitemporal SAR data for change detection: issues and methods E Colin-Koeniguer, A Boulch, P Trouve-Peloux, F Janez EUSAR 2018; 12th European Conference on Synthetic Aperture Radar, 1-4, 2018 | 13 | 2018 |
| Turning a conventional camera into a 3D camera with an add-on P Trouvé-Peloux, J Sabater, A Bernard-Brunel, F Champagnat, ... Applied optics 57 (10), 2553-2563, 2018 | 11 | 2018 |
| Deblur or denoise: the role of an aperture in lens and neural network co-design M Dufraisse, P Trouvé-Peloux, JB Volatier, F Champagnat Optics Letters 48 (2), 231-234, 2023 | 10 | 2023 |
| Conception conjointe optique/traitement pour un imageur compact à capacité 3D P Trouvé Ecole Centrale de Nantes (ECN), 2012 | 9 | 2012 |
| Learning scene and blur model for active chromatic depth from defocus B Buat, P Trouvé-Peloux, F Champagnat, G Le Besnerais Applied optics 60 (31), 9966-9974, 2021 | 7 | 2021 |
| Pix2point: Learning outdoor 3d using sparse point clouds and optimal transport R Leroy, P Trouvé-Peloux, F Champagnat, B Le Saux, M Carvalho 2021 17th International Conference on Machine Vision and Applications (MVA), 1-5, 2021 | 7 | 2021 |
| Performance model of depth from defocus with an unconventional camera P Trouvé-Peloux, F Champagnat, G Le Besnerais, G Druart, J Idier JOSA A 38 (10), 1489-1500, 2021 | 6 | 2021 |
| Technical Report: Co-learning of geometry and semantics for online 3D mapping M Carvalho, M Ferrera, A Boulch, J Moras, BL Saux, P Trouvé-Peloux arXiv preprint arXiv:1911.01082, 2019 | 5 | 2019 |
| Automated crack detection on metallic materials with flying-spot thermography using deep learning and progressive training K Helvig, P Trouvé-Peloux, L Gaverina, B Abeloos, JM Roche Quantitative InfraRed Thermography Journal, 1-20, 2023 | 4 | 2023 |
Bertrand Le SauxESA / ESRIN Φ-labDirección de correo verificada de ieee.org
